Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du robuste Datenpipelines und Datenmodelle, gewährleistest die Datenqualität und arbeitest an der Optimierung unserer Dateninfrastruktur für effiziente Analysen und Reporting.
Job Technologien
Deine Rolle im Team
- We are looking for a Senior Data Engineer at GLS/NXT to ensure the reliability and integrity of our growing data infrastructure and analytics platform.
- In this role, you will work at the intersection of data engineering, product, and operations - driving quality across our data pipelines, models, and warehouse architecture.
- You'll design and implement testing strategies, proactively identify data quality issues, and collaborate with teams to build scalable, well-documented solutions.
- Your focus will be on enabling accurate, trustworthy data for analytics and reporting while supporting the broader mission of GLS/NXT to deliver innovative, data-driven digital products.
- Collaborate across functions to scale GLS/NXT data infrastructure.
- Contribute to the roadmap and development of GLS/NXT data products.
- Design, build, monitor, and scale data pipelines for Data Warehousing, integrating various data sources and destinations.
- Develop data models and schemas supporting analytical requirements.
- Work with other engineering teams to resolve architecture and infrastructure challenges, designing effective solutions.
- Participate in cross-functional projects supporting data applications and reporting.
- Address data quality issues, implementing best practices.
- Create and maintain comprehensive systems documentation.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree in Computer Science or a related engineering field.
Qualifikationen
- Expertise in designing, building, monitoring, and scaling data engineering pipelines.
- Proficient in modern data programming languages, including Python and Go.
- Proficient with data warehousing technologies, including Google BigQuery and Snowflake.
- Proficient in SQL for diverse data sources, leveraging tools such as DBT for data modeling, schema design, incremental strategies, and query optimization.
- Looker and LookML expertise, with a focus on data preparation and modeling to support analysis and efficient visualizations.
- Strong English communication skills for effective cross-functional collaboration.
- Highly organized with the ability to prioritize tasks and manage projects aligned to business goals.
- Skilled at setting clear priorities to drive project success.
Erfahrung
- 5+ years of proven experience in data engineering roles.
- Hands-on experience with workflow orchestration tools such as Apache Airflow for designing, scheduling, and managing complex data pipelines.
- Extensive hands-on experience with cloud platforms, specifically AWS and GCP.
- Software development operations management experience, including CI/CD pipelines, grounded in agile methodologies.
Unser Angebot
- Dynamic workplace: A digital environment with international projects and space to learn and grow.
- Flexible work conditions: Hybrid working mode with a tailored remote policy.
- Focus on learning: A personal budget (1.000€) for learning and development initiatives.
- Physical space for ideas: A great office space in Berlin Mitte with top-tier equipment.
- Transparent and competitive compensation: A salary package that reflects your expertise and experience.
- Active participation: A clear bonus system enabling participation in your and the team's performance.
- Engaging team culture: Monthly team cooking, regular events and offsites.
- Vacation policy: 30 days of yearly holiday.
- Reward system: Rewards for the recommendation of additional team members.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
General Logistics Systems Germany GmbH & Co. OHG
Als einer der führenden Paketdienstleister in Deutschland sehen wir uns in der Verantwortung unseren Kunden eine Top-Qualität zu bieten. Dafür sorgen über 8.000 Mitarbeiter bundesweit, die an rund 70 Standorten ihrBestes geben. Jährlich versenden wir durch ihren Einsatz europaweit über 600 Mio. Pakete.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Logistik, Transport
Senior Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
